References
- Aldstadt, J. and Getis, A., 2006, Using AMOEBA to create a spatial weights matrix and identify spatial clusters, Geographical Analysis, 38(4), 327-343. https://doi.org/10.1111/j.1538-4632.2006.00689.x
- Anselin, L., 1995, Local indicators of spatial association-- LISA, Geographical Analysis, 27(2), 93-115.
- Anselin, L., 1996, The Moran scatterplot as an ESDA tool to assess local instability in spatial association, in Fisher, M., Scholter, H., and Unwin, D. (eds.), Spatial Analytical Perspectives on GIS, Taylor & Francis, London, 111-125.
- Anselin, L., 1998, Exploratory spatial data analysis in a geocomputational environment, in Longley, P. A., Brooks, S. M., McDonnell, R., and MacMillan, B. (eds.), Geocomputation: A Primer, John Wiley & Sons, Chichester, West Sussex, 77- 94.
- Anselin, L., 2003, GeoDa 0.9 User's Guide, Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois.
- Anselin, L. and Bao, S., 1997, Exploratory spatial data analysis linking SpaceStat and ArcView, in Fischer, M. and Getis, G. (eds.), Recent Development in Spatial Analysis, Springer- Verlag, Berlin, 35-59.
- Balk, D. L., Deichmann, U., Yetman, G., Pozzi, F., Hay, S. I., and Nelson, A., 2006, Determining global population distribution: Methods, applications and data, Advances in Parasitology, 62, 119-157. https://doi.org/10.1016/S0065-308X(05)62004-0
- Boots, B., 2001, Using local statistics for boundary characterization, GeoJournal, 53(4), 339-345. https://doi.org/10.1023/A:1020106528639
- Boots, B. and Tiefelsdorf, M., 2000, Global and local spatial autocorrelation in bounded regular tessellations, Journal of Geographical Systems, 2(4), 319-348. https://doi.org/10.1007/PL00011461
- Brunsdon, C., 1998, Exploratory spatial data analysis and local indicators of spatial association with XLISP-STAT, Journal of the Royal Statistical Society Series D: The Staistician, 47(3), 471-484. https://doi.org/10.1111/1467-9884.00148
- Dykes, J., 1998, Cartographic visualization: Exploratory spatial data analysis with local indicators of spatial association using Tcl/Tk and cdv, Journal of the Royal Statistical Society Series D: The Staistician, 47(3), 485-497. https://doi.org/10.1111/1467-9884.00149
- Fortin, M.-J. and Dale, M., 2005, Spatial Analysis: A Guide for Ecologists, Cambridge University Press, Cambridge.
- Getis, A. and Ord, J. K., 1992, The analysis of spatial association by use of distance statistics, Geographical Analysis, 24(3), 189-206.
- Getis, A. and Ord, J. K., 1996, Local spatial statistics: An overview, in Longley, P. and Batty, M. (eds.), Spatial Analysis: Modelling in a GIS Environment, GeoInformation International, Cambridge, 261-277.
- Goodchild, M. F. and Lam, N. S.-N., 1980, Areal interpolation: A variant of the traditional spatial problem, Geoprocessing, 1, 297-312.
- Jacquez, G. M., Maruca, S., and Fortin, M.-J., 2000, From fields to objects: A review of geographic boundary analysis, Journal of Geographical Systems, 2(3), 221-241. https://doi.org/10.1007/PL00011456
- Kulldorff, M., 1997, A spatial scan statistic, Communications in Statistics: Theory and Methods, 26(6), 1487-1496.
- Kulldorff, M., 2009, SaTScan User Guide (version 8.0), Available at http://www.satscan.org/.
- Lawson, A. B. and Kleinman, K., 2005, Spatial and Syndromic Surveillance for Public Health, John Wiley & Sons, Chichester, West Sussex.
- Lee, S.-I., 2001, Developing a bivariate spatial association measurer: An integration of Pearson's r and Moran's I, Journal of Geographical Systems, 3(4), 369-385. https://doi.org/10.1007/s101090100064
- Lee, S.-I., 2004, A generalized significance testing method for global measures of spatial association: An extension of the Mantel test, Environment and Planning A, 36(9), 1687-1703. https://doi.org/10.1068/a34143
- Lee, S.-I., 2009, A generalized randomization approach to local measures of spatial association, Geographical Analysis, 41(2), 221-248. https://doi.org/10.1111/j.1538-4632.2009.00749.x
- Lee, S.-I. and Kim, K., 2007, Representing the population density distribution of Seoul using dasymetric mapping techniques in a GIS environment, Journal of the Korean Cartographic Association, 7(2), 53-67 (in Korean).
- Lee, S.-I., Shin, J., Kim, H.-M., Hong, I., Kim, K., Chun, Y., Cho, D., Kim, J.-G., and Lee, G. (translation), 2009, Geographic Information Systems and Science, 2nd Edition, Sigmapress, Seoul (이상일.신정엽.김현미.홍일영.김감영.전용완. 조대헌.김종근.이건학 역, 2009, 지리정보시스템과 지리정보과학, 제2판, 시그마프레스, 서울; Longley, P. A., Goodchild, M., Maguire, D. J., and Rhind, D. W., 2005, Geographic Information Systems and Science, 2nd Edition, John Wiley & Sons, Chichester, West Sussex).
- Legendre, P. and Legendre, L., 1998, Numerical Ecology, 2nd English Edition, Elsevier, New York.
- Lu, H. and Carlin, B. P., 2005, Bayesian areal wombling for geographical boundary analysis, Geographical Analysis, 37(3), 265-285. https://doi.org/10.1111/j.1538-4632.2005.00624.x
- Moreira, G. J. P., Takahashi, R. H. C., and Duczmal, L., 2007, Delineating spatial clusters with artificial neural networks, Advances in Disease Surveillance, 4, 104.
- Office of the Deputy Prime Minister, 2002, Producing Boundaries and Statistics for Town Centres: London Pilot Study Summary Report, The Stationery Office, UK.
- Ord, J. K. and Getis, A., 1995, Local spatial autocorrelation statistics: Distributional issues and an application, Geographical Analysis, 27(4), 286-306.
- Rogerson, P. and Yamada, I., 2009, Statistical Detection and Surveillance of Geographic Clusters, Chapman & Hall/CRC, Boca Raton, FL.
- Sohn, H., 2008, Modeling spatial patterns of an overheated speculation area, Journal of the Korean Geographical Society, 43(1), 104-116 (in Korean).
- Sohn, H. and Park, K., 2008, A spatial statistical method for exploring hotspots of house price volatility, Journal of the Korean Geographical Society, 43(3), 392-411 (in Korean).
- Sutton, P. C., 2003, A scale-adjusted measure of "urban sprawl" using nighttime satellite imagery, Remote Sensing of Environment, 86, 353-369. https://doi.org/10.1016/S0034-4257(03)00078-6
- Tango, T., 2010, Statistical Methods for Disease Clustering, Springer, New York.
- Thurstain-Goodwin, M. and Unwin, D. J., 2000, Defining and delimiting the central areas of towns for statistical monitoring using continuous surface representations, Transactions in GIS, 4(4), 305-317. https://doi.org/10.1111/1467-9671.00058
- Unwin, A., 1996, Exploratory spatial analysis and local statistics, Computational Statistics, 11, 387-400.
- Unwin, A. and Unwin, D. J., 1998, Exploratory spatial data analysis with local statistics, Journal of the Royal Statistical Society Series D: The Statistician, 47(3), 415-421. https://doi.org/10.1111/1467-9884.00143
- Waller, L. A. and Gotway, C. A., 2004, Applied Spatial Statistics for Public Health Data, John Wiley & Sons, Hoboken, NJ.
- Womble, W. H., 1951, Differential systematics, Science, 114, 315-322. https://doi.org/10.1126/science.114.2961.315
- Wulder, M. and Boots, B., 1998, Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistics, International Journal of Remote Sensing, 19(11), 2223-2231. https://doi.org/10.1080/014311698214983